Data Profiling

The Asset and Wealth Management's Chief Data and Analytics Office is dedicated to maximizing the value and impact of our data responsibly. We work closely with business, technology, operations, control, and other key stakeholders to achieve our objectives. Our teams manage the entire data lifecycle, ensuring governance standards are met while making data easy to discover and use. We are looking for a highly skilled data scientist to join the Data Profiling and Ad Hoc Data Science team. This role is crucial in tackling complex data challenges and delivering actionable insights, requiring a strong technical background and expertise in modern data environments and tools for advanced analysis. As the Vice President in the Data Profiling and Ad Hoc Data Science team, you will lead initiatives such as data quality issue root cause analysis, data product prototype development, and regulatory inquiries. You will perform deep data profiling and analysis using tools like Python, R, SQL, Spark, and cloud platforms. You will develop data product prototypes and analytic solutions to promote strategic decision-making. Collaborating with business, technology, and control partners, you will deliver insights and support regulatory and management requests. You will ensure analytic approaches are robust, scalable, and compliant with data governance standards. Communicating findings effectively to both technical and non-technical stakeholders is essential. You will innovate and advance the data science agenda across the organization. Promoting impactful solutions to complex business challenges, you will translate business needs into actionable data science solutions. Maintaining a focus on data integrity and compliance, you will align analytic approaches with business objectives. With at least 7+ years of experience, you will influence stakeholders and lead initiatives independently or as part of a team. Job Responsibilities Lead and support initiatives such as data quality issue root cause analysis, data product prototype development, regulatory inquiries, management requests, and data lineage analysis. Perform deep data profiling and analysis using modern data science tools and environments, including Python, R, SQL, Spark, and cloud platforms. Develop and deliver data product prototypes and analytic solutions that address business needs and drive strategic decision-making. Collaborate closely with business, technology, and control partners to understand requirements, deliver insights, and support regulatory and management requests. Ensure analytic approaches are robust, scalable, and aligned with data governance and compliance standards. Communicate findings, recommendations, and prototypes effectively to both technical and non-technical stakeholders. Continuously innovate and advance the data science agenda across the organization. Drive and support impactful solutions to complex business and data challenges within the Data Profiling and Ad Hoc Data Science team. Translate business needs into actionable data science solutions as a subject matter expert in wealth and asset management, customer, account, and related data domains. Maintain a strong focus on data integrity, quality, and compliance while ensuring analytic approaches align with business objectives. Influence stakeholders and lead initiatives independently or as part of a team, leveraging at least 7+ years of relevant experience as a Vice President (VP). Required qualifications, capabilities, and skills Strong technical skills in data science, analytics, and data management, including proficiency in Python, R, SQL, Spark, and cloud data platforms. Experience with data visualization tools (., Tableau, Power BI) and data lineage analysis. Ability to multi-task in a fast-paced environment and operate independently. Strong judgment with the ability to balance strategic vision with pragmatic delivery. Experience building and growing data science capabilities and developing talent. Excellent interpersonal skills and ability to build strong working relationships with key stakeholders. Preferred qualifications, capabilities, and skills 7+ years of experience in data science, analytics, or related fields within financial services. Deep subject matter expertise in wealth and asset management, customer, account, and/or related data domains. Proven ability to execute in a matrixed and complex environment with the ability to influence people at all levels of the organization. Experience in strategic or transformational change initiatives. Ability to work in a highly collaborative and intellectually challenging environment. Excellent communication skills with the ability to convey complex technical concepts to diverse audiences. Willingness and ability to challenge the status quo, think creatively, and problem-solve.